Published on in Vol 6, No 3 (2004):

The Effect of Top-Level Domains and Advertisements on Health Web Site Credibility

The Effect of Top-Level Domains and Advertisements on Health Web Site Credibility

The Effect of Top-Level Domains and Advertisements on Health Web Site Credibility

Authors of this article:

Joseph B Walther ;   Zuoming Wang ;   Tracy Loh

Journals

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  2. Cao W, Zhang X, Xu K, Wang Y. Modeling Online Health Information-Seeking Behavior in China: The Roles of Source Characteristics, Reward Assessment, and Internet Self-Efficacy. Health Communication 2016;31(9):1105 View
  3. Norg R, El Bakkali N, Portegijs P, André Knottnerus J, (onno) van Schayck C. Formal quality criteria for websites do not guarantee complete health information of good quality: we need more attention to information on prognosis. European Journal of General Practice 2007;13(3):164 View
  4. Ye Y. Correlates of Consumer Trust in Online Health Information: Findings From the Health Information National Trends Survey. Journal of Health Communication 2010;16(1):34 View
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  8. Klawitter E, Hargittai E. Shortcuts to Well Being? Evaluating the Credibility of Online Health Information through Multiple Complementary Heuristics. Journal of Broadcasting & Electronic Media 2018;62(2):251 View
  9. Hwang G, Yoo J, Orr T. The Influence of Online Customer Reviews on Sport Consumers’ Purchase Intentions: The Mediating Effect of the Perceived Credibility of Website. INTERNATIONAL JOURNAL OF HUMAN MOVEMENT SCIENCE 2018;12(2):53 View
  10. Ivanitskaya L, O’Boyle I, Casey A. Health Information Literacy and Competencies of Information Age Students: Results From the Interactive Online Research Readiness Self-Assessment (RRSA). Journal of Medical Internet Research 2006;8(2):e6 View
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  12. Evans W. Bibliography. Health Communication 2005;17(2):205 View
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  15. Eysenbach G. The New Health-Related Top-Level Domains Are Coming: Will Cureforcancer.health Go to the Highest Bidder?. Journal of Medical Internet Research 2014;16(3):e73 View
  16. Watts S, Shankaranarayanan G, Even A. Data quality assessment in context: A cognitive perspective. Decision Support Systems 2009;48(1):202 View
  17. Ye Y. A Path Analysis on Correlates of Consumer Trust in Online Health Information: Evidence from the Health Information National Trends Survey. Journal of Health Communication 2010;15(sup3):200 View
  18. Sillence E, Briggs P, Harris P, Fishwick L. A framework for understanding trust factors in web-based health advice. International Journal of Human-Computer Studies 2006;64(8):697 View
  19. Kwon J, Kye S, Park E, Oh K, Park K. What predicts the trust of online health information?. Epidemiology and Health 2015;37:e2015030 View
  20. Ameri F, Keeling K, Salehnejad R. You Get What You Pay for on Health Care Question and Answer Platforms: Nonparticipant Observational Study. Journal of Medical Internet Research 2020;22(1):e13534 View
  21. Timm D, Pemotto D. Healthelinks Update. Journal of Consumer Health On the Internet 2007;11(3):35 View
  22. Sillence E, Briggs P, Harris P, Fishwick L. Going online for health advice: Changes in usage and trust practices over the last five years. Interacting with Computers 2007;19(3):397 View
  23. Clewley N, Chen S, Liu X. Evaluation of the credibility of internet shopping in the UK. Online Information Review 2009;33(4):805 View
  24. Giudice K. Crowdsourcing credibility: The impact of audience feedback on Web page credibility. Proceedings of the American Society for Information Science and Technology 2010;47(1):1 View
  25. Hollands G, Marteau T. The impact of using visual images of the body within a personalized health risk assessment: An experimental study. British Journal of Health Psychology 2013;18(2):263 View
  26. Metzger M, Flanagin A, Medders R. Social and Heuristic Approaches to Credibility Evaluation Online. Journal of Communication 2010;60(3):413 View
  27. Joo Chung C, Kim H, Hyun Kim J. An anatomy of the credibility of online newspapers. Online Information Review 2010;34(5):669 View
  28. Flanagin A, Metzger M. The credibility of volunteered geographic information. GeoJournal 2008;72(3-4):137 View
  29. Liao Q, Fu W. Age differences in credibility judgments of online health information. ACM Transactions on Computer-Human Interaction 2014;21(1):1 View
  30. Liu N, Tong Y, Chan H. Dual effects of social support seeking in patient-centric online healthcare communities: A longitudinal study. Information & Management 2020;57(8):103270 View
  31. Borah P, Xiao X. The Importance of ‘Likes’: The Interplay of Message Framing, Source, and Social Endorsement on Credibility Perceptions of Health Information on Facebook. Journal of Health Communication 2018;23(4):399 View
  32. Kim Y. Trust in health information websites: A systematic literature review on the antecedents of trust. Health Informatics Journal 2016;22(2):355 View
  33. Sbaffi L, Rowley J. Trust and Credibility in Web-Based Health Information: A Review and Agenda for Future Research. Journal of Medical Internet Research 2017;19(6):e218 View
  34. Tombs N, Fournier-Tombs E. Ambiguity in authenticity of top-level Coronavirus-related domains. Harvard Kennedy School Misinformation Review 2020 View
  35. Yang Q, Beatty M. A meta-analytic review of health information credibility. Health Information Management Journal 2016;45(2):80 View
  36. Everett H. Is good enough good enough?. Communication Design Quarterly 2018;6(2):41 View
  37. Wojdynski B, Kalyanaraman S. The three dimensions of website navigability: Explication and effects. Journal of the Association for Information Science and Technology 2016;67(2):454 View
  38. Yom-Tov E, Marino B, Pai J, Harris D, Wolf M. The Effect of Limited Health Literacy on How Internet Users Learn About Diabetes. Journal of Health Communication 2016;21(10):1107 View
  39. Bernhold Q, Metzger M. Older Adults’ Parasocial Relationships with Favorite Television Characters and Depressive Symptoms. Health Communication 2020;35(2):168 View
  40. Eastin M, Yang M, Nathanson A. Children of the Net: An Empirical Exploration Into the Evaluation of Internet Content. Journal of Broadcasting & Electronic Media 2006;50(2):211 View
  41. Liu L, Shi L. Does the ownership of health website matter? A cross-sectional study on Chinese consumer behavior. International Journal of Medical Informatics 2021;152:104485 View
  42. Afzal Hossain A. Measurement of Visitors’ Satisfaction towards Health Tourism: Structural Equation Modeling Analysis. Health Economics and Management Review 2022;3(3):80 View
  43. González-Fernández C, Fernández-Isabel A, Martín de Diego I, Fernández R, Viseu Pinheiro J. Experts perception-based system to detect misinformation in health websites. Pattern Recognition Letters 2021;152:333 View
  44. Li Y, Fan Z, Yuan X, Zhang X. Recognizing fake information through a developed feature scheme: A user study of health misinformation on social media in China. Information Processing & Management 2022;59(1):102769 View
  45. Anderson L, Womack J, Ledford C. Initial development and testing of a measure of credibility of mobile health apps: a clinical study among women seeking prenatal care. Atlantic Journal of Communication 2023;31(2):144 View
  46. Park Y, Kim S, Yoon H. Quality controlled YouTube content intervention for enhancing health literacy and health behavioural intention: A randomized controlled study. DIGITAL HEALTH 2024;10 View
  47. Wu M, Yang Y, Chen Y. Evaluation of treatment information quality on hypertension and diabetes on WeChat and TikTok: A cross-sectional content analysis. Health Informatics Journal 2024;30(3) View
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Books/Policy Documents

  1. Mutum D, Wang Q. E-Marketing. View
  2. Mutum D, Wang Q. Handbook of Research on Digital Media and Advertising. View
  3. Metzger M, Flanagin A. The Handbook of the Psychology of Communication Technology. View